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| diff --git a/report/paper.md b/report/paper.md index 0227b1e..e1a78c6 100644 --- a/report/paper.md +++ b/report/paper.md @@ -73,6 +73,7 @@ challenge and how they are specifically addressing. Is there the **mode collapse  # Inception Score +  ## Classifier Architecture Used  ## Results @@ -86,6 +87,24 @@ MNIST real testing set (10K), in comparison to the inception scores.  **Please measure and discuss the inception scores for the different hyper-parameters/tricks and/or  architectures in Q2.** +We measure the performance of the considered GAN's using the Inecption score [@inception], as calculated +with L2-Net logits. + +$$ \textrm{IS}(x) = \exp(\mathcal{E}_x \left( \textrm{KL} ( p(y\|x) \|\| p(y) ) \right) ) $$ + +GAN type     Inception Score (L2-Net) +------------ ----------------------------- +MNIST(ref)   9.67   +cGAN         6.01 +cGAN+VB      6.2 +cGAN+LS      6.3 +cGAN+VB+LS   6.4 +cDCGAN+VB    6.5 +cDCGAN+LS    6.8 +cDCGAN+VB+LS 7.3 + + +  # Re-training the handwritten digit classifier  ## Results | 
